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Name		Name	Last commit message	Last commit date
Latest commit History 87 Commits
dataverse_files		dataverse_files
Advanced Experimentation Challenge.ipynb		Advanced Experimentation Challenge.ipynb
Algorithms Assignment.ipynb		Algorithms Assignment.ipynb
Capstone_1:Analytic_Report_and_Research_Proposal.ipynb		Capstone_1:Analytic_Report_and_Research_Proposal.ipynb
Capstone_2 - Research Proposal .ipynb		Capstone_2 - Research Proposal .ipynb
Challenge - Module 19 Regression Problems.ipynb		Challenge - Module 19 Regression Problems.ipynb
Challenge - Outliers.ipynb		Challenge - Outliers.ipynb
FT_Optimize.ipynb		FT_Optimize.ipynb
Fix_the_flaw.ipynb		Fix_the_flaw.ipynb
Linear_regression.ipynb		Linear_regression.ipynb
Mixed_effects_models.ipynb		Mixed_effects_models.ipynb
Module 12 - Challenge - Data cleaning & validation.ipynb		Module 12 - Challenge - Data cleaning & validation.ipynb
Module 12 - Exploring data with Seaborn plots - Assignment.ipynb		Module 12 - Exploring data with Seaborn plots - Assignment.ipynb
Module 13 - A-B Testing Assignment.ipynb		Module 13 - A-B Testing Assignment.ipynb
Module 13 - A-B testing and T-tests.ipynb		Module 13 - A-B testing and T-tests.ipynb
Module 13 - Experimentation_guided_example.ipynb		Module 13 - Experimentation_guided_example.ipynb
Module 17 - Challenge.ipynb		Module 17 - Challenge.ipynb
Module 17 - Data Cleaning Missing Values Assignment.ipynb		Module 17 - Data Cleaning Missing Values Assignment.ipynb
Module 17 - Data Cleaning Outliers.ipynb		Module 17 - Data Cleaning Outliers.ipynb
Module 17 - Data Exploration 1.ipynb		Module 17 - Data Exploration 1.ipynb
Module 17 - Data Exploration 2.ipynb		Module 17 - Data Exploration 2.ipynb
Module 17 - Exploratory Data Analysis Assignment.ipynb		Module 17 - Exploratory Data Analysis Assignment.ipynb
Module 17 - Feature engineering 1.ipynb		Module 17 - Feature engineering 1.ipynb
Module 17 - Feature engineering 2.ipynb		Module 17 - Feature engineering 2.ipynb
Module 17 - Variables Types Assignment.ipynb		Module 17 - Variables Types Assignment.ipynb
Module 17 - What models do.ipynb		Module 17 - What models do.ipynb
Module 18 - Accuracy and error type.ipynb		Module 18 - Accuracy and error type.ipynb
Module 18 - Challenge Sentimental Analysis.ipynb		Module 18 - Challenge Sentimental Analysis.ipynb
Module 18 - Evaluating a Sentimental Analysis.ipynb		Module 18 - Evaluating a Sentimental Analysis.ipynb
Module 19 - Assumptions of Linear Regression Assignment.ipynb		Module 19 - Assumptions of Linear Regression Assignment.ipynb
Module 19 - Evaluating Performance Assignment (part 2).ipynb		Module 19 - Evaluating Performance Assignment (part 2).ipynb
Module 19 - Evaluating Performance Assignment part 2.ipynb		Module 19 - Evaluating Performance Assignment part 2.ipynb
Module 19 - Evaluating Performance Assignment.ipynb		Module 19 - Evaluating Performance Assignment.ipynb
Module 19 - Making Predictions Assignment.ipynb		Module 19 - Making Predictions Assignment.ipynb
Module 19 - Overfitting and Regularization Assignment.ipynb		Module 19 - Overfitting and Regularization Assignment.ipynb
Module 19 - Regression Task Assignment.ipynb		Module 19 - Regression Task Assignment.ipynb
Module 19 - Simple linear regression with OLS (short version).ipynb		Module 19 - Simple linear regression with OLS (short version).ipynb
Module 19 - Simple linear regression with OLS .ipynb		Module 19 - Simple linear regression with OLS .ipynb
Module 19 - Simple linear regression with OLS.ipynb		Module 19 - Simple linear regression with OLS.ipynb
Module 19 Interpreting estimated coefficients - Assignment 1.ipynb		Module 19 Interpreting estimated coefficients - Assignment 1.ipynb
Module 19 Interpreting estimated coefficients - Assignment 2.ipynb		Module 19 Interpreting estimated coefficients - Assignment 2.ipynb
Module 19 Interpreting estimated coefficients - Assignment 3.ipynb		Module 19 Interpreting estimated coefficients - Assignment 3.ipynb
Module 20 - Challenge Model Comparison.ipynb		Module 20 - Challenge Model Comparison.ipynb
Module 20 - KNN Regression Assignment.ipynb		Module 20 - KNN Regression Assignment.ipynb
Module 20 - Nearest Neighbor Assignment.ipynb		Module 20 - Nearest Neighbor Assignment.ipynb
Module 20 - Tuning KNN Assignment.ipynb		Module 20 - Tuning KNN Assignment.ipynb
Module 22 - Challenge (Compare decision trees and random forests).ipynb		Module 22 - Challenge (Compare decision trees and random forests).ipynb
Module 22 - Guided Example Assignment.ipynb		Module 22 - Guided Example Assignment.ipynb
Module 23 - Challenge Support Vector Machine.ipynb		Module 23 - Challenge Support Vector Machine.ipynb
Module 24 - Challenge Which model?.ipynb		Module 24 - Challenge Which model?.ipynb
Module 24 - Improve a gradient boost model.ipynb		Module 24 - Improve a gradient boost model.ipynb
Module 30 - Challenge Boston Marathon.ipynb		Module 30 - Challenge Boston Marathon.ipynb
Module 30 - K-means and clustering.ipynb		Module 30 - K-means and clustering.ipynb
Module 30 - Other approaches to clustering.ipynb		Module 30 - Other approaches to clustering.ipynb
Module 31 - Challenge Make a Neural Network.ipynb		Module 31 - Challenge Make a Neural Network.ipynb
Module 31 - Supervised neural network.ipynb		Module 31 - Supervised neural network.ipynb
Module 7 - Basics of Probability - Assignment - Set 1.ipynb		Module 7 - Basics of Probability - Assignment - Set 1.ipynb
Module 7 - Basics of Probability - Assignment - Set 2.ipynb		Module 7 - Basics of Probability - Assignment - Set 2.ipynb
Module 7 - Plotting Basics - Assignment.ipynb		Module 7 - Plotting Basics - Assignment.ipynb
Module 7 - Sampling and the central limit theorem - Assignments.ipynb		Module 7 - Sampling and the central limit theorem - Assignments.ipynb
Module 7 - Summary Statistics - Assignment.ipynb		Module 7 - Summary Statistics - Assignment.ipynb
Module_18_R_vs_C.ipynb		Module_18_R_vs_C.ipynb
Online News Popularity.ipynb		Online News Popularity.ipynb
Presentation.pptx		Presentation.pptx
Project_Proposal.pdf		Project_Proposal.pdf
Question_Design.ipynb		Question_Design.ipynb
QuickSort.ipynb		QuickSort.ipynb
SQL_self-sufficiency_exam.txt		SQL_self-sufficiency_exam.txt
Self reporting Drill.ipynb		Self reporting Drill.ipynb
SpecializationChallenge.ipynb		SpecializationChallenge.ipynb
Tree Asignment.ipynb		Tree Asignment.ipynb
Univariate and Multivariate Exploration Techniques.ipynb		Univariate and Multivariate Exploration Techniques.ipynb
Varying slopes and intercepts.ipynb		Varying slopes and intercepts.ipynb
Web Scraping - Challenge.ipynb		Web Scraping - Challenge.ipynb
combined.png		combined.png
tree_print.png		tree_print.png

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